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Forecasting renewable energy utilization by Iran's water and wastewater industries

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  • Khah, Mohammad Vahabi
  • Zahedi, Rahim
  • Mousavi, Mohammad Sadegh
  • Ahmadi, Abolfazl

Abstract

This paper studies forecasting the use of renewable energies in the water and wastewater industry. Different methods have been proposed to show energy recovery techniques and the use of renewable energy in wastewater treatment. The results indicate that increasing the carbon tax to more than 30 USD per ton of CO2 could reduce emissions from all fossil-fuel power plant types by 30%.

Suggested Citation

  • Khah, Mohammad Vahabi & Zahedi, Rahim & Mousavi, Mohammad Sadegh & Ahmadi, Abolfazl, 2023. "Forecasting renewable energy utilization by Iran's water and wastewater industries," Utilities Policy, Elsevier, vol. 82(C).
    • Handle: RePEc:eee:juipol:v:82:y:2023:i:c:s0957178723000589
    DOI: 10.1016/j.jup.2023.101546
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    References listed on IDEAS

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    4. Mattia Cottes & Matia Mainardis & Daniele Goi & Patrizia Simeoni, 2020. "Demand-Response Application in Wastewater Treatment Plants Using Compressed Air Storage System: A Modelling Approach," Energies, MDPI, vol. 13(18), pages 1-15, September.
    5. Lim, Juin Yau & Safder, Usman & How, Bing Shen & Ifaei, Pouya & Yoo, Chang Kyoo, 2021. "Nationwide sustainable renewable energy and Power-to-X deployment planning in South Korea assisted with forecasting model," Applied Energy, Elsevier, vol. 283(C).
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